利用古温标恢复四川盆地主要构造运动时期的剥蚀量

地层剥蚀量是沉积盆地埋藏史和热史重建中一个关键的参数.本文利用石油钻井的系统古温标(Ro)资料,并结合多种恢复方法,得出四川盆地主要构造运动时期的剥蚀量.研究表明:加里东期,川东南剥蚀量较大,达2000m.东吴运动时期,川西南、川东南等距二叠纪玄武岩喷发区较近地区的剥蚀量较大,分别在260～450 m和800～900m:印支早期盆地整体遭受了抬升剥蚀作用,剥蚀厚度为100～500 m.印支中、晚期龙门山地区褶皱剥蚀,H1、Y1等钻井该时期的地层剥蚀量超过2000 m.燕山期周缘山系的继续隆升造成山前大范围地区的剥蚀:喜山期盆地周缘钻井的剥蚀量较大,在2000 m左右,而早期古隆起上的钻井如GJ、J13、Z12等钻井的地层剥蚀量则较小,在1000 m左右.可见,四川盆地不同地质时期及不同构造区位的剥蚀厚度都不尽相同,这一时空差异反映了构造运动对该区的差异影响.这一研究也表明,以系统的古温标资料(R_o)为基础,针对不同地质情况选用适当的反演方法并结合多种反演方法.能有效地恢复钻井在不同时期的剥蚀量.上述四川盆地各时期剥蚀地层厚度的恢复,对研究该区的构造、沉积和油气演化提供了基础数据.     

Spatiotemporal reflectance blending in a wetland environment

To understand the mechanism of wetland cover change with both moderate spatial resolution and high temporal frequency, this research evaluates the applicability of a spatiotemporal reflectance blending model in the Poyang Lake area, China, using 9 time-series Landsat-5 Thematic Mapper images and 18 time-series Terra Moderate Resolution Imaging Spectroradiometer images acquired between July 2004 and November 2005. The customized blending model was developed based on the enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM). Reflectance of the moderate-resolution image pixels on the target dates can be predicted more accurately by the proposed customized model than the original ESTARFM. Water level on the input image acquisition dates strongly affected the accuracy of the blended reflectance. It was found that either of the image sets used as prior or posterior inputs are required when the difference of water level between the prior or posterior date and target date at Poyang Hydrological Station is <2.68 m to achieve blending accuracy with a mean average absolute difference of 4% between the observed and blended reflectance in all spectral bands.     

基于主成分分析的植被含水率模型

为了对岷江上游“生态水”的估测提供有效的数据源和方法,利用高光谱遥感技术定量研究了植被反射光谱与植被含水率的关系,测定了研究区多个采样点棕榈叶片的反射光谱和对应的含水率,通过二者的相关分析和逐步回归的方法提取敏感波段;为避免敏感波段之间相关性影响,采用主成分分析法提取主成分,建立主成分与含水率的定量分析模型,并建立主成分与标准自变量的回归方程,然后建立各个标准变量与原始自变量(反射光谱敏感波段)的回归方程,最终转换为植被含水率与反射光谱之间的模型.结果表明:棕榈叶片反射光谱在454 nm,668 nm,1 466 nm,1 664 nm和1 924 nm波段处与含水率显著相关;采用主成分定量分析模型的估算值与实测值相关系数为0.92,均方根误差为0.06.     

杭州湾HJ CCD影像悬浮泥沙遥感定量反演

利用环境小卫星CCD(HJ CCD)影像对杭州湾悬浮泥沙浓度(SSC)进行了反演研究。通过对杭州湾水体遥感反射率(Rrs)与SSC进行相关性分析发现,在690nm和830nm左右出现显著的反射峰,分别位于HJ CCD影像的第3和第4波段范围内;大于700nm波长处的Rrs与SSC相关性较好。基于实测Rrs和SSC之间的相关关系,利用第4和第3波段比值作为遥感因子建立SSC反演模型,模型决定系数达到0.90。借鉴近红外-短波红外(NIR-SWIR)结合的大气校正方法反演出的准同步MODIS气溶胶数据,实现了HJ CCD影像的大气校正,第3、第4波段的大气校正结果相对误差分别为5.54%和6.97%。结果显示,HJ CCD影像反演的SSC相对误差为7.12%;杭州湾悬浮泥沙浓度要显著高于长江口,且内部差异明显。研究表明,通过适当的大气校正方法和反演算法,HJ CCD影像可用于杭州湾悬浮泥沙浓度的估计。     

Verification of net primary production estimation method in the Mongolian Plateau using landsat ETM+data

We plan to estimate global net primary production (NPP) of vegetation using the Advanced Earth Observing Satellite-II (ADEOS-II) Global Imager (GLI) multi-spectral data. We derive an NPP estimation algorithm from ground measurement data on temperate plants in Japan. By the algorithm, we estimate NPP using a vegetation index based on pattern decomposition (VIPD) for the Mongolian Plateau. The VIPD is derived from Landsat ETM+multi-spectral data, and the resulting NPP estimation is compared with ground data measured in a semi-arid area of Mongolia. The NPP estimation derived from satellite remote sensing data agrees with the ground measurement data within the error range of 15% when all above-ground vegetation NPP is calculated for different vegetation classifications.     

Spectral material mapping using hyperspectral imagery: a review of spectral matching and library search methods

Imaging spectroscopy is an emerging and versatile technique that finds applications in diverse fields concerned with remote identification, discrimination and mapping of materials. The large amount of spectral data produced by hyperspectral imaging necessitates the development of automated techniques that convert imagery directly into thematic maps. Spectral library search method, a method of choice for organic compound identification by the mass spectroscopy, has caught the attention of researchers as one of the appropriate methods for an efficient exploitation of high quality spectral data available from the hyperspectral imaging systems. Given the apparent increase in the number of papers appearing on the subject as well as the variety of methods proposed, it is reasonable to say that the field of automated interpretation of reflectance spectral data has passed its infancy now gaining important space in the scientific community. We present an overall view of the literature relevant to the development of library search method, the various search algorithms and systems available in the purview for developing an automated hyperspectral data analysis system for material identification.     

Spectral identification of materials by reflectance spectral library search

Spectral library search is emerging as a viable approach for material identification and mapping by reusing spectral knowledge gained from hyperspectral remote sensing across space and time. The potential of retrieving meaningful spectral material identifications in the presence of reflectance of spectra of various material types and with various similarity metrics has been assessed in this study. Test reflectance spectra of various vegetation, minerals, soils and urban material types are identified by searching through the composite reflectance spectral library obtained by combining various institutional reflectance spectral libraries. The accuracy of material identifications under various conditions: (i) in the presence of identical, similar and dissimilar spectra; (ii) in the presence of only identical and dissimilar spectra; and (iii) in the presence of only dissimilar spectra has been assessed with several similarity metrics. Results indicate the possibility of obtaining 100% accurate material identifications by library search if the spectral library contains identical spectra. However, the presence of a large number of similar spectra, despite the presence of identical spectra, is found to increase false positives, thereby reducing the accuracy of retrievals to 82% at best. Further, the accuracy of material identifications in the presence of similar spectra is similarity metric-dependent and varied from about 52% (obtained from Binary Encoding) to 82% (obtained from Normalized Spectral Similarity Score). Overall, results support the possibility of using independent reflectance spectral libraries for material identification while calling for robust spectral similarity metrics.     

内蒙古锡林郭勒地区上古生界极低级变质作用:伊利石和镜质体反射率的证据

本文使用D/max-2500X射线衍射仪研究了内蒙古锡林郭勒地区上古生界泥质岩石伊利石的成因标志,讨论了有机质镜质体反射率对变质温度的表征。研究区上古生界泥质岩石伊利石的标型特征为:伊利石结晶度分布于0.28～>0.77之间,平均值0.40;伊利石(白云母)多型以2M1型为主,2M1+1Md多型和1Md多型相对较少;伊利石(白云母)b0值变化于8.983～9.046之间,平均值9.019,指示其形成于成岩-极低级变质作用。有机质镜质体反射率具有示踪变质温度的作用,应用Barker and Pawlewiez(1986,1994)、Barker and Goldsteinl(1990)和Mullis et al.(2001)建立的镜质体反射率地质温度计,对研究区上古生界泥质岩石变质温度进行了估算,揭示古地温处于136～321℃之间,温度估算值主要分布在180～260℃之间,平均值为245℃,这表明研究区上古生界遭受了成岩-极低级变质作用,变质程度属近变质带。研究区上古生界泥质岩石的Ro值主要分布在1.01%～3.67%之间,表明有机质演化处于成熟-过成熟阶段,泥质岩石具有生烃的能力,部分层位可能具有形成油气资源的潜力。     

利用新近系煤的镜质组反射率计算滇西高原 的隆升幅度

为了定量地计算滇西高原的隆升幅度,在滇西中甸、保山、景东、景谷四地分别取新近纪煤岩样,在野外实测煤层上覆地层残留厚度和测得样品的镜质组反射率并确定有效作用时间后,根据三者关系曲线图计算出成煤时的最大古地温和最大埋深,进而计算出滇西高原上新世时期自北而南的隆升幅度在1500~1700m之间。该时期隆升表现出总体均匀抬升的特征。     

Airborne imagery of a disintegrating Sargassum drift line

Airborne hyperspectral and thermal infrared imagery collected over the Florida Current provide a view of the disintegration of a Sargassum drift line in 5 m s⁻¹ winds. The drift line consists mostly of rafts 20-80 m² in size, though aggregations larger than 1000 m² also occur. Rafts tend to be elongated, curved in the upwind direction, and 0.1-0.5 °C warmer than the surrounding ocean surface. Long weed ‘trails’ extending upwind from the rafts are evidence of plants dropping out and being left behind more rapidly drifting rafts. The raft line may be a remnant of an earlier Sargassum frontal band, which is detectible as an upwind thermal front and areas of submerged weed. Issues are identified that require future field measurements.